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Techn. Fakultät Willkommen am Institut für Informatik FAU-Logo

Exercises

The course covers theoretical as well as practical exercises. In the theoretical part the understanding of topics introduced in the lecture should be trained. In practial exercises the participants will implement algorithms of pattern analysis in Matlab.

The exercise takes place

  • Monday 12:15 - 13:15, 02.134-113
  • Tuesday, 12:15 - 13:15, E1.12, Cauerstr. 7

Both courses cover the same topics.

 

Start: April 18th, 2016

News

  • There was a slight mistake in the solution for the Regressiontree. Instead of using the residuals directly , the logarithm of the residuals has to be used to yield the entropy.
  • Downlaod the classification toolbox binaries here  
  • No exercise on Monday, 25th of April / 26th of April. We will have a two hour exercise the following week instead.

Assignments

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Sheet & Material
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Pattern recognition revisited

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0

Python Guidepdf

1

Classification Forest, Regression ForestpdfToolbox
2Parzen Windowspdf
3Mean Shift / Density Estimation

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4Local Linear Embedding / Mean ShiftInitiates file downloadpdf Initiates file downloadcamerman_orig Initiates file downloadcameraman_noisy
5Hidden Markov ModelsInitiates file downloadpdf